ChurnZero

MARCH 18, 2022

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98

SaaS Metrics Enterprise Surveys 98

AWS Machine Learning

MAY 24, 2023

Additionally, we can use the Amazon Textract Analyze Lending API in processing mortgage documents. The document pages are then automatically routed to Amazon Textract text processing operations for accurate data extraction and analysis. This helps identify top risk indicators and analyze fraud patterns across the data.

APIs 69

APIs Metrics Management Personalization 69

AWS Machine Learning

MARCH 28, 2024

SEC filings are available online through the SEC’s EDGAR (Electronic Data Gathering, Analysis, and Retrieval) database, which provides open data access. You can scrape the filings from EDGAR directly, or use APIs in Amazon SageMaker with a few lines of code, for any period of time and for a large number of tickers (i.e.,

Finance 94

Finance Metrics Banking Engineering 94

AWS Machine Learning

OCTOBER 24, 2023

T-Mobile has partnered with AWS to analyze the key application metrics of this service, such as language distribution, the number of messages per language, the daily total and unique active customers, and so on. This data helped in scaling the service and making key business decisions to improve the Voicemail to Text customer experience.

APIs 88

APIs Engineering Metrics Technology 88

NobelBiz

NOVEMBER 27, 2023

If you would like to learn more about the benefits of a VOIP solution, we highly recommend another one of our articles called “ Cost Savings of VOIP: A Comprehensive Analysis “ Discover how VOIP is revolutionizing call centers by reducing long-distance charges, minimizing hardware investment, and ensuring predictable monthly expenses.

Call Logging 59

Call Logging voip Contact center software CRM 59

AWS Machine Learning

APRIL 11, 2023

They also estimate the user’s age using facial analysis before allowing access to age-restricted content. As the user’s face moves into the oval, a series of colored lights is displayed on the device’s screen and the selfie video is securely streamed to the cloud APIs, where advanced ML models analyze the video in real time.

APIs 76

APIs Accountability Government Healthcare 76

AWS Machine Learning

OCTOBER 27, 2022

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. After the predictors have been created, we evaluated their quality metrics in the predictors dashboard.

APIs 96

APIs Best practices Metrics Government 96

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. In the following sections, we explore both notebooks.

APIs 74

APIs Accountability Enterprise Metrics 74

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 109

Healthcare APIs Metrics Scripts 109

Spearline

JULY 7, 2022

O ur suite of webRTC testing, monitoring, and analytics solutions provide a raft of real-time and aggregate global and localized testing metrics. These metrics represent performance at all levels of critical webRTC infrastructure and network paths. Or, call our API for this information in JSON format.

Metrics 95

Metrics APIs Analytics Contact Center 95

BlueOcean

OCTOBER 4, 2023

Customer saves are a key metric, and we outperformed the previous partner, with nearly ten years’ experience under their belt, right out of the gate, realizing a nearly 5% increase in retention during our first quarter in production. The value of that improved metric plays a big role in the client’s bottom line.

Customer Support 124

Customer Support Bilingual agents outsourcing Contact Center 124

CSM Magazine

MARCH 5, 2024

Enhanced self-management: the patient mobile app can help patients track their symptoms, adherence to treatment, and other health metrics. Improved data collection and analysis: gain valuable insights from patient data to inform care decisions. Increased engagement: apps can make healthcare more engaging and interactive for patients.

Healthcare 52

Healthcare Education Gamification Consulting 52

NobelBiz

FEBRUARY 14, 2023

Enhancing data analysis: Data integration allows contact centers to analyze data from multiple sources, which can provide a complete understanding of the customer. API integration: API (Application Programming Interface) integration allows different systems to share data in real time.

Contact Center 52

Contact Center CRM Journey mapping Government 52

delighted

DECEMBER 5, 2022

Power up your analysis. A common misconception is that free survey platforms don’t have powerful survey analysis features. Whether you’re capturing your Net Promoter Score, Customer Satisfaction Score, or another survey metric, 30 days is a great period to report on your feedback. Pass as many properties as you can.

Surveys 91

Surveys Feedback Best practices APIs 91

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents. Extract default entities with the Amazon Comprehend DetectEntities API. The response from the DetectEntities API includes the default entities. Extraction phase.

Analytics 75

Analytics APIs Healthcare Big data 75

AWS Machine Learning

JANUARY 12, 2023

This module implements an observability solution, including application logs, application performance monitoring (APM), and metrics. Finally, a separate standalone instance of Filebeat pulls log analysis and that puts them into CloudWatch and then into Logstash. The adoption of Logstash was initially done seamlessly.

Engineering 104

Engineering APIs Accountability Metrics 104

aircall

JUNE 23, 2022

To that end, Aircall runs an open marketplace for applications development with an open Aircall API. Additionally, Aircall’s App Marketplace features top business tools to help sales and customer service professionals manage incoming and outgoing calls, track conversations and metrics, and have a 360-degree view of customer data in seconds.

APIs 62

APIs Metrics Technology Sales 62

AWS Machine Learning

MAY 22, 2023

These models have proven extremely effective for a wide range of text-based tasks, from question answering to sentiment analysis. You can monitor performance metrics such as training and validation loss using Amazon CloudWatch during training.

APIs 88

APIs Scripts Metrics Accountability 88

AWS Machine Learning

FEBRUARY 15, 2024

The solution consists of four key steps: The domain expert creates the initial model, including data analysis and feature curation using SageMaker Canvas. This provide a quick indication of the model quality to expect, and allows you to investigate the effect that different inputs have on the output metric.

Metrics 89

Metrics Analytics APIs Big data 89

AWS Machine Learning

MARCH 29, 2023

The AIDA platform was envisioned to provide a simple and highly accurate mechanism to search UNDP evaluation reports across various themes and export them for further analysis. TextractAsyncCallTask submits the documents to be processed by Amazon Textract using the asynchronous StartDocumentTextDetection API.

APIs 68

APIs Construction Metrics Technology 68

AWS Machine Learning

NOVEMBER 22, 2023

Pursue Metrics-Driven Quality and Continuous Improvement In IDP, what gets measured gets improved. Define and track key metrics related to document accuracy, processing times, and model efficacy. Defined metrics for IDP success – Establish and monitor clear metrics to measure the success and impact of the IDP operations.

Best practices 82

Best practices Metrics Feedback Enterprise 82

AWS Machine Learning

NOVEMBER 22, 2022

The solution improved the manual forecast by an average of 10% in regards to the WAPE metric. During this iterative improvement phase, the challenging part—true for all ML projects—is that the current iteration depends on the previous iteration’s key findings and insights, so rigorous analysis and reporting is key for success.

Sales 80

Sales Metrics APIs Healthcare 80

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 66

APIs Scripts Metrics Surveys 66

Babelforce

FEBRUARY 10, 2022

Complicates data analysis. This can make measuring some key call center metrics and KPIs close to impossible. Customers generally don’t know a whole lot about APIs, but they will definitely notice when they’re experiencing more frustration with your call center than they are with a competitor. Sounds scary?

Call Center 52

Call Center APIs call center software Technology 52

AWS Machine Learning

MARCH 13, 2023

After meticulous analysis of the evaluation results, the data scientist or ML engineer can deploy the new model if the performance of the newly trained model is better compared to the previous version. The performance of the models is evaluated based on the model-specific metrics (such as F1 score, MSE, or confusion matrix).

Engineering 81

Engineering APIs Metrics Management 81

AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. Specifically, Dockerfile and build.sh gpt2 and predictor.py

APIs 66

APIs Engineering Construction Benchmark 66

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. This notebook demonstrates how to use the JumpStart API for text classification. After the fine-tuning job is complete, we deploy the model, run inference on the hold-out test dataset, and compute evaluation metrics. Text classification.

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

JUNE 24, 2022

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. Anomaly detection – You can share Veeva PromoMats documents to Amazon Lookout for Metrics for anomaly detection.

APIs 71

APIs Healthcare SaaS Engineering 71

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. You can also use the FeatureGroup().put_record

Scripts 72

Scripts Engineering APIs Big data 72

Aspect

JULY 15, 2020

Aspect Performance Management is just such a tool, and in Version 20 , we have tightly integrated our world-class speech analytics solution, Aspect Engagement Analytics, to enable balanced scorecards and other reports that aggregate quality metrics from 100% of customer interactions.

contact center workforce 118

contact center workforce Contact Center Real estate Average Handle Time 118

Nicereply

JUNE 24, 2021

Customer Effort Score is a metric, which customer service teams are using to evaluate how easy customers thought it was to get a resolution to their recent contact. The Customer Effort Score metric grew out of a desire to measure the amount of effort customers were experiencing in their service interactions. And the metric works.

Customer effort 81

Customer effort Surveys Metrics Feedback 81

AWS Machine Learning

APRIL 6, 2023

We observed during the exploratory data analysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. The Boto3 API provides the create_auto_predictor function for training an auto prediction model.

Sales 77

Sales Metrics APIs Marketing 77

AWS Machine Learning

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data.

Enterprise 86

Enterprise APIs Metrics Engineering 86

aircall

MARCH 17, 2021

Develop questions around your goals, and set metrics to give you the data you need to answer those questions. . It’s therefore best to build time into your sales strategy plan to do an overall gap analysis that will catch problems before they get bigger. Sales Data Analysis. Uncover new market opportunities.

Best practices 62

Best practices Sales Contact center software Contact Center 62

aircall

NOVEMBER 16, 2022

The ideal alternative will seamlessly integrate with third-party software to ensure that you have insight into all business metrics in one place. . All Aircall integrations are easy to manage and centralize all CRM software and APIs so managers can track, assign, and streamline all internal processes with a few clicks.

CRM 62

CRM call center software APIs Government 62

JustCall

APRIL 5, 2023

Engage users throughout their lifecycle with respect to the company Provide critical feedback and customer success scores based on the analysis of the historical data collected Predict the future growth of your customer base and indicate potential red flags based on key data touch-points such as customer interactions , payments, concerns, etc.

Management 52

Management CRM Analytics Customer retention 52

AWS Machine Learning

DECEMBER 6, 2022

compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) compute metrics function def compute_metrics(pred): targets = 1 * (pred.label_ids >= 0.5) The Trainer class provides an API for feature-complete training in PyTorch. outputs = 1 * (pred.predictions >= 0.5)

Engineering 73

Engineering APIs Construction Metrics 73